Keynote Speakers:
Frank Hopfgartner is a senior lecturer in Data Science at the Information School of University of Sheffield. My research to date can be placed in the intersection of information systems (e.g., information retrieval and recommender systems), content analysis and data science. I have (co-) authored over 150 publications in above mentioned research fields, including a book on smart information systems, various book chapters and papers in peer-reviewed journals, conferences and workshops.
Panelists:
Damian Trilling is an Associate Professor for Communication in the Digital Society at the Department of Communication Science, University of Amsterdam). He has a background in Communication Science (PhD Amsterdam 2013). His research focuses on the question how people use news in the current media environment. Methodologically, he employs standard social-science methods like surveys and experiments, but a large part of his work focuses on computational communication science approaches, such as large-scale text analysis in Python or setting up online field experiments. Recent work includes field experiments with a self-developed news recommender app to better understand how users interact with different news recommenders. He is principal investigator of the ERC-funded NEWSFLOWS project (https://newsflows.eu ) that studies news dissemination processes in an environment characterized by social as well as algorithmic feedback loops.
Jonathan Stray is a Visiting Scholar at the Center for Human Compatible AI at UC Berkeley, where he works on the design of recommender systems for better personalized news and information. He teaches the dual masters degree in computer science and journalism at Columbia University, spent the last ten years building data mining software for investigative journalism, and previously worked as an editor at the Associated Press.
Judith Möller is an Associate Professor for Political Communication at the Department of Communication Science at the University of Amsterdam and an Adjunct Associate Professor at the Department of Sociology and Political Science at the University of Trondheim. In 2019 she was awarded a VENI talent track grant by the Dutch Science Foundation (NWO). The project is entitled "Vocal, Visible and Vaulting? (Dis)connected niche audiences in the age of artificial intelligence" and studies the impact of algorithmic filter systems and artificial intelligence on specific segments of the population and niche audiences (fringe bubbles). She is the recipient of the Baschwitz Article of the Year Award in 2018 and a fellow of the algorithmed public sphere network at the Hans-Bredow-Institute in Hamburg, Germany. She is co-founder of the research group on AI and conversational agents at the UvA and part of a research team that successfully applied for a four year E-Science/NWO Data science grant (“Inside the filter bubble”) that aims to link substantive research with methods in computer linguistics to identify biases in frames and perspectives in individual news diets.
Edward C. Malthouse is the Erastus Otis Haven Professor of Integrated Marketing Communications and Professor of Industrial Engineering and Management Science at Northwestern University. His is the Research Director for the Spiegel Center for Digital and Database Marketing and a researcher for the Local News Initiative, both at Northwestern University. He is the co-editor of the Journal of Service Research and associate Editor for Frontiers in Big Data-Recommender Systems. He was the co-editor of the Journal of Interactive Marketing between 2005-2011. His research interests center on customer engagement and experiences; digital, social and mobile media; media management; big data; customer relationship management and lifetime value models; recommender systems; and predictive analytics. He earned his PhD in 1995 in statistics.